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Full-Text Articles in Physical Sciences and Mathematics
Association Between Fire Return Interval And Population Dynamics In Four California Populations Of Tecate Cypress (Cupressus Forbesii), Roland C. De Gouvenain, Ali M. Ansary
Association Between Fire Return Interval And Population Dynamics In Four California Populations Of Tecate Cypress (Cupressus Forbesii), Roland C. De Gouvenain, Ali M. Ansary
Faculty Publications
The Tecate cypress (Cupressus forbesii) is a tree species associated with chaparral ecosystems in southern California and northern Baja California, Mexico. It is fire-adapted, its regeneration triggered by the opening of serotinous cones when adult trees are burned. Surveys made in the 1980s by others suggested that some Tecate cypress populations were declining, and some authors suggested that increased fire frequency in southern California was a major factor for this decline. We asked whether current population trends were still negative for Tecate cypress 20 years later, and whether population growth was associated with fire return interval length. Based on demographic, …
Abstracts Of Papers, 84th Annual Meeting Of The Virginia Academy Of Science
Abstracts Of Papers, 84th Annual Meeting Of The Virginia Academy Of Science
Virginia Journal of Science
Full abstracts of papers for the 84th Annual Meeting of the Virginia Academy of Science, May 25-26, 2006, Virginia Polytechnic Institute and State University, Blacksburg, VA
A Novel Approach To Phylogenetic Tree Construction Using Stochastic Optimization And Clustering, Ling Qin, Yixin Chen, Yi Pan, Ling Chen
A Novel Approach To Phylogenetic Tree Construction Using Stochastic Optimization And Clustering, Ling Qin, Yixin Chen, Yi Pan, Ling Chen
Computer Science Faculty Publications
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational biology.
Results: A new phylogenetic tree construction method from a given set of objects (proteins, species, etc.) is presented. As an extension of ant colony optimization, this method proposes an adaptive phylogenetic clustering algorithm based on a digraph to find a tree structure that defines the ancestral relationships among the given objects.
Conclusion: Our phylogenetic tree construction method is tested to compare its results with that of the genetic algorithm (GA). Experimental results show that …